Browse by Subject PROCESS PARAMETERS

Showing results 1 to 8 of 8

1
Advances on Cr and Ni Electrodeposition for Industrial Applications-A Review

Okonkwo, Bright O.; Jeong, Chaewon; Jang, Changheui, COATINGS, v.12, no.10, 2022-10

2
Analysis of cold compaction for Fe-C, Fe-C-Cu powder design based on constitutive relation and artificial neural networks

Shin, Da Seul; Lee, Chi Hun; Kim, Suk Hyun; Park, Dong Yong; Oh, Joo Won; Gal, Chang Woo; Koo, Jin Mo; et al, POWDER TECHNOLOGY, v.353, pp.330 - 344, 2019-07

3
Directed energy deposition of γ/γ' Co-Al-W superalloys

Yoo, Boryung; Jung, Chanwon; Ryou, KenHee; Choi, Won Seok; Haußmann, Lukas; Yang, Sangsun; Boll, Torben; et al, ADDITIVE MANUFACTURING, v.60, no.B, 2022-12

4
Effects of Focus Geometry on the Hard Rock-Cutting Performance of an Abrasive Waterjet

Cha, Yohan; Oh, Tae-Min; Cho, Gye-Chun, ADVANCES IN CIVIL ENGINEERING, v.2020, 2020-01

5
Flexibility in metal forming

Yang, Dong-Yol; Bambach, M.; Cao, J.; Duflou, J. R.; Groche, P.; Kuboki, T.; Sterzing, A.; et al, CIRP ANNALS-MANUFACTURING TECHNOLOGY, v.67, no.2, pp.743 - 765, 2018-09

6
On the elasto-plastic buckling of Integrally Stiffened Panels (ISP) joined by Friction Stir Welding (FSW): Numerical simulation and optimization algorithms

Caseiro, J. F.; Valente, R. A. F.; Andrade-Campos, A.; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, v.76, pp.49 - 59, 2013-11

7
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks

Jung, Jiyoung; Park, Kundo; Cho, Byungjin; Park, Jinkyoo; Ryu, Seunghwa, JOURNAL OF INTELLIGENT MANUFACTURING, v.34, no.8, pp.3623 - 3636, 2023-12

8
Simulation Study on the Etching Mechanism of the Bosch Process

Kim, Chang-Gyu; Moon, Jae-Seung; Lee, Won-Jong, KOREAN JOURNAL OF METALS AND MATERIALS, v.49, no.10, pp.797 - 804, 2011-10

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